tf RNN example2

Author: Mofan Zhou

tensorflowTUT/tf20_RNN3/for_practicing.py renamed to tensorflowTUT/tf20_RNN2.2/for_practicing.py

@@ -99,8 +99,8 @@ def _bias_variable(self, shape, name='biases'):
     sess = tf.Session()
     merged = tf.merge_all_summaries()
     writer = tf.train.SummaryWriter("logs", sess.graph)
-    # relocate to the local dir and run this line to view it on Chrome:
-    # $ tensorboard --logdir=logs
+    # relocate to the local dir and run this line to view it on Chrome (http://0.0.0.0:6006/):
+    # $ tensorboard --logdir='logs'
 
     sess.run(tf.initialize_all_variables())
     plt.ion()

tensorflowTUT/tf20_RNN3/full_code.py renamed to tensorflowTUT/tf20_RNN2.2/full_code.py

@@ -117,10 +117,10 @@ def _bias_variable(self, shape, name='biases'):
     model = LSTMRNN(TIME_STEPS, INPUT_SIZE, OUTPUT_SIZE, CELL_SIZE, BATCH_SIZE)
     sess = tf.Session()
     merged = tf.merge_all_summaries()
-    writer = tf.train.SummaryWriter("tmp/logs", sess.graph)
+    writer = tf.train.SummaryWriter("logs", sess.graph)
     sess.run(tf.initialize_all_variables())
-    # relocate to the local dir and run this line to view it on Chrome:
-    # $ tensorboard --logdir=logs
+    # relocate to the local dir and run this line to view it on Chrome (http://0.0.0.0:6006/):
+    # $ tensorboard --logdir='logs'
 
     plt.ion()
     plt.show()
@@ -144,10 +144,10 @@ def _bias_variable(self, shape, name='biases'):
             feed_dict=feed_dict)
 
         # plotting
-        plt.plot(xs[0, :], res[0].flatten(), 'r', xs[0, :], pred.flatten()[:TIME_STEPS], 'b--')
-        plt.ylim((-1.2, 1.2))
-        plt.draw()
-        plt.pause(0.3)
+        # plt.plot(xs[0, :], res[0].flatten(), 'r', xs[0, :], pred.flatten()[:TIME_STEPS], 'b--')
+        # plt.ylim((-1.2, 1.2))
+        # plt.draw()
+        # plt.pause(0.3)
 
         if i % 20 == 0:
             print('cost: ', round(cost, 4))